Municipal Solid Waste Stabilization Efficiency Using Fluorescence Excitation–Emission Spectroscopy

Baddi, Ghita Ait; Antízar-Ladislao, Blanca; Alcuta, Audrey; Mazéas, Laurent; Li, Tianlun; Duquennoi, C.; Redon, Estelle; Bouchez, Théodore

doi:10.1089/ees.2012.0041

Cited by 13 publications

(2 citation statements)

References 33 publications

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“…These two fluorescent regions in cardboard spectra matched the ones observed on municipal solid waste spectra [149]. Besides, fluorescence peaks in the region of excitation wavelength 250-300 nm and emission wavelength 280-320 nm were related to soluble microbial byproduct-like materials [150,154].…”

Section: Industrial and Other Wastessupporting

confidence: 73%

A review on fluorescence spectroscopic analysis of water and wastewater

Khan¹,

Akbar²,

Wu³

et al. 2021

Methods Appl. Fluoresc.

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In recent years, the application of fluorescence spectroscopy has been widely recognized in water environment studies. The sensitiveness, simplicity, and efficiency of fluorescence spectroscopy are proved to be a promising tool for effective monitoring of water and wastewater. The fluorescence excitation-emission matrix (EEMs) and synchronous fluorescence spectra have been widely used analysis techniques of fluorescence measurement. The presence of organic matter in water and wastewater defines the degree and type of pollution in water. The application of fluorescence spectroscopy to characterize dissolved organic matter (DOM) has made the water quality assessment simple and easy. With the recent advances in this technology, components of DOM are identified by employing parallel factor analysis (PARAFAC), a mathematical trilinear data modeling with EEMs. The majority of wastewater studies indicated that the fluorescence peak of EX/EM at 275nm/340nm is referred to tryptophan region (Peak T1). However, some researchers identified another fluorescence peak in the region of EX/EM at 225-237nm/340-381nm, which described the tryptophan region and labeled it as Peak T2. Generally, peak T is a protein-like component in the water sample, where T1 and T2 signals were derived from the <0.20µm fraction of pollution. Therefore, a more advanced approach, such as an online fluorescence spectrofluorometer, can be used for the online monitoring of water. The results of various waters studied by fluorescence spectroscopy indicate that changes in peak T intensity could be used for real-time wastewater quality assessment and process control of wastewater treatment works. Finally, due to its effective use in water quality assessment, the fluorescence technique is proved to be a surrogate online monitoring tool and early warning equipment.

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Section: Industrial and Other Wastessupporting

confidence: 73%

A review on fluorescence spectroscopic analysis of water and wastewater

Khan¹,

Akbar²,

Wu³

et al. 2021

Methods Appl. Fluoresc.

View full text Add to dashboard Cite

show abstract

“…Summarily, the results indicate that the most wastes would be disposed of at landfill due to its relatively low operation cost and low capital for facility development/expansion. However, since the landfill can generate leachate (with a high concentration of organic matter, nutrients, toxic chemicals, and heavy metals) and emit harmful and greenhouse-effect gases (such as ammonia, hydrogen sulfide, nitrous oxide, and methane) to heavily pollute the environment, they usually require 30 years or longer to reach biological stability (Baddi et al, 2013). This can bring about high cost for mitigating its negative environmental impacts (i.e., environmental impacts mean those impacts that have a negative or deleterious effect on air, land or water quality) posed by such sites and their pollutant emissions (Li et al, 2015).…”

Section: Resultsmentioning

confidence: 99%

Mathematical Modeling for Identifying Cost-Effective Policy of Municipal Solid Waste Management under Uncertainty

Li¹,

Huang²,

Cui³

et al. 2019

J ENVIRON INFORM

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In municipal solid waste (MSW) management, many impact factors, such as waste generation rate, treatment capacity, diversion goal, and disposal cost appear uncertain. These uncertainties can result in difficulties in the long-term planning of MSW management activities. A critical issue that decision makers should mitigate is how to address these uncertainties due to a lack of knowledge founded on an incomplete characterization, understanding or measurement of MSW systems. In this study, an inexact twostage waste management (ITWM) model is developed for planning long-term MSW management in the City of Changchun, China. The ITWM model incorporates the techniques of interval-parameter programming (IPP) and two-stage stochastic programming (TSP) within an integer programming framework, such that uncertainties expressed as both intervals and probabilities can be reflected; it can also analyze different policy scenarios that are associated with different economic penalty levels. Two cases related to different waste management policies are examined, generating varied levels of waste-management cost and system-failure risk. The results obtained are valuable for addressing issues of waste diversion and capacity expansion with a minimized system cost. They also suggest that the developed model be meaningful for real-world planning problems and the practicality of this approach can be extended to other environmental planning applications containing significant sources of uncertainty.

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